Highly sensitive adulteration detection in kelulut honey utilizing fiber Bragg grating technology with Q-switched pulse erbium-doped fiber laser and innovative spider silk substrate

Muhammad, Nur Ainnaa Mardhiah; Awang, Noor Azura; Talip, Balkis A.; Zalkepali, Noor Ummi Hazirah Hani; Supaat, Murni Imam

doi:10.1016/j.sna.2024.115656

Sensors and Actuators A: Physical

2024

DOI: 10.1016/j.sna.2024.115656

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Highly sensitive adulteration detection in kelulut honey utilizing fiber Bragg grating technology with Q-switched pulse erbium-doped fiber laser and innovative spider silk substrate

Nur Ainnaa Mardhiah Muhammad,

Noor Azura Awang,

Balkis A. Talip

et al.

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Research on the Application of SVM in Ideology Analysis and the Enhancement of Ideological and Political Education Effectiveness

Huang,

Shen,

Wang

2024

Applied Mathematics and Nonlinear Sciences

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The consciousness and behavior of students in the Ideological and Political Education curriculum generate massive amounts of data information, how to allow educators to quickly obtain information from the massive amount of text data is very important to improve the energy efficiency of classroom education. SVM technology is employed in this paper for data mining and text classification. Firstly, using the web crawler method, the text of messages related to the Ideological and Political Science course posted by students on social networks is collected. The short text was preprocessed before performing sentiment analysis, which mainly included interaction information filtering, word segmentation, and lexical labeling. Then, the SVM model suitable for students’ ideology analysis is constructed, using the Gauss radial basis kernel function to accurately depict the distribution structure of the data, and the L1-SVM model with more stable computational performance is also proposed. The extension method of the classification algorithm in the real number domain is summarized at the end. This algorithm’s accuracy is 78%, and its F1 value is 80%, which is higher than the other three algorithms. DAG-SVM and recall are both optimized to a lesser extent. Overall, the classification efficiency of the algorithm in this paper has been improved. The positive effect of this paper’s algorithm on improving the effectiveness of Ideological and Political Education can be seen in the significant increase in the learning interest of the experimental class.

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Research on the Application of SVM in Ideology Analysis and the Enhancement of Ideological and Political Education Effectiveness

Huang,

Shen,

Wang

2024

Applied Mathematics and Nonlinear Sciences

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show abstract

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Highly sensitive adulteration detection in kelulut honey utilizing fiber Bragg grating technology with Q-switched pulse erbium-doped fiber laser and innovative spider silk substrate

Cited by 1 publication

References 83 publications

Research on the Application of SVM in Ideology Analysis and the Enhancement of Ideological and Political Education Effectiveness

Research on the Application of SVM in Ideology Analysis and the Enhancement of Ideological and Political Education Effectiveness

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